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Commit e262f253 authored by cb1e5ba91280d02583d0604166e71c1c's avatar cb1e5ba91280d02583d0604166e71c1c
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module3/exo3/exercice.ipynb
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...@@ -9,7 +9,7 @@ ...@@ -9,7 +9,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 55, "execution_count": 139,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
...@@ -35,7 +35,7 @@ ...@@ -35,7 +35,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 56, "execution_count": 140,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
...@@ -317,7 +317,7 @@ ...@@ -317,7 +317,7 @@
"[756 rows x 10 columns]" "[756 rows x 10 columns]"
] ]
}, },
"execution_count": 56, "execution_count": 140,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
...@@ -349,7 +349,7 @@ ...@@ -349,7 +349,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 57, "execution_count": 141,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
...@@ -370,7 +370,7 @@ ...@@ -370,7 +370,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 58, "execution_count": 169,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
...@@ -472,26 +472,186 @@ ...@@ -472,26 +472,186 @@
" <td>317.51</td>\n", " <td>317.51</td>\n",
" <td>314.71</td>\n", " <td>314.71</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>1958</td>\n",
" <td>6</td>\n",
" <td>21351</td>\n",
" <td>1958.4548</td>\n",
" <td>-99.99</td>\n",
" <td>-99.99</td>\n",
" <td>317.24</td>\n",
" <td>315.14</td>\n",
" <td>317.24</td>\n",
" <td>315.14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>1958</td>\n",
" <td>7</td>\n",
" <td>21381</td>\n",
" <td>1958.5370</td>\n",
" <td>315.86</td>\n",
" <td>315.19</td>\n",
" <td>315.86</td>\n",
" <td>315.22</td>\n",
" <td>315.86</td>\n",
" <td>315.19</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>1959</td>\n",
" <td>12</td>\n",
" <td>21899</td>\n",
" <td>1959.9562</td>\n",
" <td>315.58</td>\n",
" <td>316.35</td>\n",
" <td>315.72</td>\n",
" <td>316.47</td>\n",
" <td>315.58</td>\n",
" <td>316.35</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>1960</td>\n",
" <td>1</td>\n",
" <td>21930</td>\n",
" <td>1960.0410</td>\n",
" <td>316.43</td>\n",
" <td>316.39</td>\n",
" <td>316.61</td>\n",
" <td>316.56</td>\n",
" <td>316.43</td>\n",
" <td>316.39</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>1960</td>\n",
" <td>2</td>\n",
" <td>21961</td>\n",
" <td>1960.1257</td>\n",
" <td>316.98</td>\n",
" <td>316.35</td>\n",
" <td>317.27</td>\n",
" <td>316.64</td>\n",
" <td>316.98</td>\n",
" <td>316.35</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>1960</td>\n",
" <td>3</td>\n",
" <td>21990</td>\n",
" <td>1960.2049</td>\n",
" <td>317.58</td>\n",
" <td>316.28</td>\n",
" <td>318.03</td>\n",
" <td>316.71</td>\n",
" <td>317.58</td>\n",
" <td>316.28</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>1960</td>\n",
" <td>4</td>\n",
" <td>22021</td>\n",
" <td>1960.2896</td>\n",
" <td>319.03</td>\n",
" <td>316.70</td>\n",
" <td>319.14</td>\n",
" <td>316.79</td>\n",
" <td>319.03</td>\n",
" <td>316.70</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>1960</td>\n",
" <td>5</td>\n",
" <td>22051</td>\n",
" <td>1960.3716</td>\n",
" <td>320.04</td>\n",
" <td>317.22</td>\n",
" <td>319.67</td>\n",
" <td>316.86</td>\n",
" <td>320.04</td>\n",
" <td>317.22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>1960</td>\n",
" <td>6</td>\n",
" <td>22082</td>\n",
" <td>1960.4563</td>\n",
" <td>319.59</td>\n",
" <td>317.48</td>\n",
" <td>319.01</td>\n",
" <td>316.93</td>\n",
" <td>319.59</td>\n",
" <td>317.48</td>\n",
" </tr>\n",
" </tbody>\n", " </tbody>\n",
"</table>\n", "</table>\n",
"<p>30 rows × 10 columns</p>\n",
"</div>" "</div>"
], ],
"text/plain": [ "text/plain": [
" Yr Mn Date 1 Date 2 s1 s2 s3 s4 s5 s6\n", " Yr Mn Date 1 Date 2 s1 s2 s3 s4 s5 \\\n",
"0 1958 1 21200 1958.0411 -99.99 -99.99 -99.99 -99.99 -99.99 -99.99\n", "0 1958 1 21200 1958.0411 -99.99 -99.99 -99.99 -99.99 -99.99 \n",
"1 1958 2 21231 1958.1260 -99.99 -99.99 -99.99 -99.99 -99.99 -99.99\n", "1 1958 2 21231 1958.1260 -99.99 -99.99 -99.99 -99.99 -99.99 \n",
"2 1958 3 21259 1958.2027 315.70 314.44 316.19 314.91 315.70 314.44\n", "2 1958 3 21259 1958.2027 315.70 314.44 316.19 314.91 315.70 \n",
"3 1958 4 21290 1958.2877 317.45 315.16 317.30 314.99 317.45 315.16\n", "3 1958 4 21290 1958.2877 317.45 315.16 317.30 314.99 317.45 \n",
"4 1958 5 21320 1958.3699 317.51 314.71 317.86 315.06 317.51 314.71" "4 1958 5 21320 1958.3699 317.51 314.71 317.86 315.06 317.51 \n",
"5 1958 6 21351 1958.4548 -99.99 -99.99 317.24 315.14 317.24 \n",
"6 1958 7 21381 1958.5370 315.86 315.19 315.86 315.22 315.86 \n",
".. ... .. ... ... ... ... ... ... ... \n",
"23 1959 12 21899 1959.9562 315.58 316.35 315.72 316.47 315.58 \n",
"24 1960 1 21930 1960.0410 316.43 316.39 316.61 316.56 316.43 \n",
"25 1960 2 21961 1960.1257 316.98 316.35 317.27 316.64 316.98 \n",
"26 1960 3 21990 1960.2049 317.58 316.28 318.03 316.71 317.58 \n",
"27 1960 4 22021 1960.2896 319.03 316.70 319.14 316.79 319.03 \n",
"28 1960 5 22051 1960.3716 320.04 317.22 319.67 316.86 320.04 \n",
"29 1960 6 22082 1960.4563 319.59 317.48 319.01 316.93 319.59 \n",
"\n",
" s6 \n",
"0 -99.99 \n",
"1 -99.99 \n",
"2 314.44 \n",
"3 315.16 \n",
"4 314.71 \n",
"5 315.14 \n",
"6 315.19 \n",
".. ... \n",
"23 316.35 \n",
"24 316.39 \n",
"25 316.35 \n",
"26 316.28 \n",
"27 316.70 \n",
"28 317.22 \n",
"29 317.48 \n",
"\n",
"[30 rows x 10 columns]"
] ]
}, },
"execution_count": 58, "execution_count": 169,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
], ],
"source": [ "source": [
"raw_data_1.head()" "raw_data_1.head(30)"
] ]
}, },
{ {
...@@ -503,7 +663,7 @@ ...@@ -503,7 +663,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 59, "execution_count": 143,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
...@@ -546,133 +706,38 @@ ...@@ -546,133 +706,38 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 60, "execution_count": 174,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"data": { "data": {
"text/html": [
"<div>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Yr</th>\n",
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" <th>Date 1</th>\n",
" <th>Date 2</th>\n",
" <th>s1</th>\n",
" <th>s2</th>\n",
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" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>1958</td>\n",
" <td>6</td>\n",
" <td>21351</td>\n",
" <td>1958.4548</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>317.24</td>\n",
" <td>315.14</td>\n",
" <td>317.24</td>\n",
" <td>315.14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>1958</td>\n",
" <td>10</td>\n",
" <td>21473</td>\n",
" <td>1958.7890</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>312.44</td>\n",
" <td>315.40</td>\n",
" <td>312.44</td>\n",
" <td>315.40</td>\n",
" </tr>\n",
" <tr>\n",
" <th>73</th>\n",
" <td>1964</td>\n",
" <td>2</td>\n",
" <td>23422</td>\n",
" <td>1964.1257</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>320.01</td>\n",
" <td>319.36</td>\n",
" <td>320.01</td>\n",
" <td>319.36</td>\n",
" </tr>\n",
" <tr>\n",
" <th>74</th>\n",
" <td>1964</td>\n",
" <td>3</td>\n",
" <td>23451</td>\n",
" <td>1964.2049</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>320.74</td>\n",
" <td>319.41</td>\n",
" <td>320.74</td>\n",
" <td>319.41</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75</th>\n",
" <td>1964</td>\n",
" <td>4</td>\n",
" <td>23482</td>\n",
" <td>1964.2896</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>321.83</td>\n",
" <td>319.45</td>\n",
" <td>321.83</td>\n",
" <td>319.45</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [ "text/plain": [
" Yr Mn Date 1 Date 2 s1 s2 s3 s4 s5 s6\n", "Yr False\n",
"5 1958 6 21351 1958.4548 NaN NaN 317.24 315.14 317.24 315.14\n", "Mn False\n",
"9 1958 10 21473 1958.7890 NaN NaN 312.44 315.40 312.44 315.40\n", "Date 1 False\n",
"73 1964 2 23422 1964.1257 NaN NaN 320.01 319.36 320.01 319.36\n", "Date 2 False\n",
"74 1964 3 23451 1964.2049 NaN NaN 320.74 319.41 320.74 319.41\n", "s1 True\n",
"75 1964 4 23482 1964.2896 NaN NaN 321.83 319.45 321.83 319.45" "s2 True\n",
] "s3 False\n",
}, "s4 False\n",
"execution_count": 60, "s5 False\n",
"s6 False\n",
"dtype: bool"
]
},
"execution_count": 174,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
], ],
"source": [ "source": [
"data[data.isnull().any(axis=1)]" "#data[data.isnull().any(columns = 's1')]\n",
"data.isnull().any()"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 61, "execution_count": 145,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
...@@ -787,7 +852,7 @@ ...@@ -787,7 +852,7 @@
"6 1958 7 21381 1958.5370 315.86 315.19 315.86 315.22 315.86 315.19" "6 1958 7 21381 1958.5370 315.86 315.19 315.86 315.22 315.86 315.19"
] ]
}, },
"execution_count": 61, "execution_count": 145,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
...@@ -806,7 +871,7 @@ ...@@ -806,7 +871,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 90, "execution_count": 146,
"metadata": { "metadata": {
"scrolled": true "scrolled": true
}, },
...@@ -1112,7 +1177,7 @@ ...@@ -1112,7 +1177,7 @@
"1959-07-01 316.03 316.54 315.86 " "1959-07-01 316.03 316.54 315.86 "
] ]
}, },
"execution_count": 90, "execution_count": 146,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
...@@ -1138,7 +1203,7 @@ ...@@ -1138,7 +1203,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 63, "execution_count": 147,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
...@@ -1169,7 +1234,7 @@ ...@@ -1169,7 +1234,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 64, "execution_count": 148,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
...@@ -1221,7 +1286,7 @@ ...@@ -1221,7 +1286,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 65, "execution_count": 149,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
...@@ -1278,7 +1343,7 @@ ...@@ -1278,7 +1343,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 66, "execution_count": 150,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
...@@ -1422,7 +1487,7 @@ ...@@ -1422,7 +1487,7 @@
"1964-04-01 321.83 319.45 " "1964-04-01 321.83 319.45 "
] ]
}, },
"execution_count": 66, "execution_count": 150,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
...@@ -1438,7 +1503,7 @@ ...@@ -1438,7 +1503,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 67, "execution_count": 151,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
...@@ -1582,7 +1647,7 @@ ...@@ -1582,7 +1647,7 @@
"2020-01-01 413.05 413.37 413.33 " "2020-01-01 413.05 413.37 413.33 "
] ]
}, },
"execution_count": 67, "execution_count": 151,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
...@@ -1600,7 +1665,7 @@ ...@@ -1600,7 +1665,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 68, "execution_count": 152,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
...@@ -1907,7 +1972,7 @@ ...@@ -1907,7 +1972,7 @@
"[743 rows x 11 columns]" "[743 rows x 11 columns]"
] ]
}, },
"execution_count": 68, "execution_count": 152,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
...@@ -1919,7 +1984,7 @@ ...@@ -1919,7 +1984,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 69, "execution_count": 153,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
...@@ -2175,7 +2240,7 @@ ...@@ -2175,7 +2240,7 @@
"1964-12-01 319.66 318.71 319.49 " "1964-12-01 319.66 318.71 319.49 "
] ]
}, },
"execution_count": 69, "execution_count": 153,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
...@@ -2187,7 +2252,7 @@ ...@@ -2187,7 +2252,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 70, "execution_count": 154,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
...@@ -2212,7 +2277,7 @@ ...@@ -2212,7 +2277,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 71, "execution_count": 155,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
...@@ -2262,7 +2327,7 @@ ...@@ -2262,7 +2327,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 72, "execution_count": 156,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
...@@ -2285,7 +2350,7 @@ ...@@ -2285,7 +2350,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 96, "execution_count": 157,
"metadata": { "metadata": {
"scrolled": true "scrolled": true
}, },
...@@ -2326,7 +2391,7 @@ ...@@ -2326,7 +2391,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 97, "execution_count": 158,
"metadata": { "metadata": {
"scrolled": true "scrolled": true
}, },
...@@ -2334,11 +2399,11 @@ ...@@ -2334,11 +2399,11 @@
{ {
"data": { "data": {
"text/plain": [ "text/plain": [
"[<matplotlib.lines.Line2D at 0x7fbbaa92a9b0>,\n", "[<matplotlib.lines.Line2D at 0x7fbbaa7cce48>,\n",
" <matplotlib.lines.Line2D at 0x7fbbaa947c88>]" " <matplotlib.lines.Line2D at 0x7fbbaa7d46a0>]"
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"execution_count": 97, "execution_count": 158,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
}, },
...@@ -2370,7 +2435,7 @@ ...@@ -2370,7 +2435,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 75, "execution_count": 159,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
...@@ -2396,7 +2461,7 @@ ...@@ -2396,7 +2461,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 76, "execution_count": 160,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
...@@ -2405,7 +2470,7 @@ ...@@ -2405,7 +2470,7 @@
"34.013605442176875" "34.013605442176875"
] ]
}, },
"execution_count": 76, "execution_count": 160,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
...@@ -2416,7 +2481,7 @@ ...@@ -2416,7 +2481,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 92, "execution_count": 166,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
...@@ -2439,23 +2504,21 @@ ...@@ -2439,23 +2504,21 @@
"<table border=\"1\" class=\"dataframe\">\n", "<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n", " <thead>\n",
" <tr style=\"text-align: right;\">\n", " <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>index</th>\n",
" <th>Yr</th>\n",
" <th>Mn</th>\n", " <th>Mn</th>\n",
" <th>1</th>\n", " <th>Date 1</th>\n",
" <th>2</th>\n", " <th>Date 2</th>\n",
" <th>3</th>\n", " <th>s1</th>\n",
" <th>4</th>\n", " <th>s2</th>\n",
" <th>5</th>\n", " <th>s3</th>\n",
" <th>6</th>\n", " <th>s4</th>\n",
" <th>7</th>\n", " <th>s5</th>\n",
" <th>8</th>\n", " <th>s6</th>\n",
" <th>9</th>\n",
" <th>10</th>\n",
" <th>11</th>\n",
" <th>12</th>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>Yr</th>\n", " <th>period</th>\n",
" <th></th>\n",
" <th></th>\n", " <th></th>\n",
" <th></th>\n", " <th></th>\n",
" <th></th>\n", " <th></th>\n",
...@@ -2471,109 +2534,102 @@ ...@@ -2471,109 +2534,102 @@
" </thead>\n", " </thead>\n",
" <tbody>\n", " <tbody>\n",
" <tr>\n", " <tr>\n",
" <th>1958</th>\n", " <th>1958-03-01</th>\n",
" <td>NaN</td>\n", " <td>2</td>\n",
" <td>NaN</td>\n", " <td>1958</td>\n",
" <td>3</td>\n",
" <td>21259</td>\n",
" <td>1958.2027</td>\n",
" <td>315.700</td>\n",
" <td>314.44</td>\n",
" <td>316.19</td>\n",
" <td>314.91</td>\n",
" <td>315.70</td>\n", " <td>315.70</td>\n",
" <td>314.44</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1958-04-01</th>\n",
" <td>3</td>\n",
" <td>1958</td>\n",
" <td>4</td>\n",
" <td>21290</td>\n",
" <td>1958.2877</td>\n",
" <td>317.450</td>\n",
" <td>315.16</td>\n",
" <td>317.30</td>\n",
" <td>314.99</td>\n",
" <td>317.45</td>\n", " <td>317.45</td>\n",
" <td>315.16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1958-05-01</th>\n",
" <td>4</td>\n",
" <td>1958</td>\n",
" <td>5</td>\n",
" <td>21320</td>\n",
" <td>1958.3699</td>\n",
" <td>317.510</td>\n",
" <td>314.71</td>\n",
" <td>317.86</td>\n",
" <td>315.06</td>\n",
" <td>317.51</td>\n", " <td>317.51</td>\n",
" <td>NaN</td>\n", " <td>314.71</td>\n",
" <td>315.86</td>\n",
" <td>314.93</td>\n",
" <td>313.21</td>\n",
" <td>NaN</td>\n",
" <td>313.33</td>\n",
" <td>314.67</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>1959</th>\n", " <th>1958-06-01</th>\n",
" <td>315.58</td>\n", " <td>5</td>\n",
" <td>316.49</td>\n", " <td>1958</td>\n",
" <td>316.65</td>\n", " <td>6</td>\n",
" <td>317.72</td>\n", " <td>21351</td>\n",
" <td>318.29</td>\n", " <td>1958.4548</td>\n",
" <td>318.15</td>\n", " <td>316.685</td>\n",
" <td>316.54</td>\n", " <td>314.95</td>\n",
" <td>314.80</td>\n", " <td>317.24</td>\n",
" <td>313.84</td>\n", " <td>315.14</td>\n",
" <td>313.33</td>\n", " <td>317.24</td>\n",
" <td>314.81</td>\n", " <td>315.14</td>\n",
" <td>315.58</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>1960</th>\n", " <th>1958-07-01</th>\n",
" <td>316.43</td>\n", " <td>6</td>\n",
" <td>316.98</td>\n", " <td>1958</td>\n",
" <td>317.58</td>\n", " <td>7</td>\n",
" <td>319.03</td>\n", " <td>21381</td>\n",
" <td>320.04</td>\n", " <td>1958.5370</td>\n",
" <td>319.59</td>\n", " <td>315.860</td>\n",
" <td>318.18</td>\n", " <td>315.19</td>\n",
" <td>315.90</td>\n", " <td>315.86</td>\n",
" <td>314.17</td>\n", " <td>315.22</td>\n",
" <td>313.83</td>\n", " <td>315.86</td>\n",
" <td>315.00</td>\n", " <td>315.19</td>\n",
" <td>316.19</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>1961</th>\n", " <th>1958-08-01</th>\n",
" <td>316.89</td>\n", " <td>7</td>\n",
" <td>317.70</td>\n", " <td>1958</td>\n",
" <td>318.54</td>\n", " <td>8</td>\n",
" <td>319.48</td>\n", " <td>21412</td>\n",
" <td>320.58</td>\n", " <td>1958.6219</td>\n",
" <td>319.77</td>\n", " <td>314.930</td>\n",
" <td>318.57</td>\n", " <td>316.19</td>\n",
" <td>316.79</td>\n", " <td>314.00</td>\n",
" <td>314.99</td>\n", " <td>315.29</td>\n",
" <td>315.31</td>\n", " <td>314.93</td>\n",
" <td>316.10</td>\n", " <td>316.19</td>\n",
" <td>317.01</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>1962</th>\n", " <th>1958-09-01</th>\n",
" <td>317.94</td>\n", " <td>8</td>\n",
" <td>318.55</td>\n", " <td>1958</td>\n",
" <td>319.68</td>\n", " <td>9</td>\n",
" <td>320.57</td>\n", " <td>21443</td>\n",
" <td>321.02</td>\n", " <td>1958.7068</td>\n",
" <td>320.62</td>\n", " <td>313.210</td>\n",
" <td>319.61</td>\n", " <td>316.08</td>\n",
" <td>317.40</td>\n", " <td>312.46</td>\n",
" <td>316.25</td>\n", " <td>315.35</td>\n",
" <td>315.42</td>\n", " <td>313.21</td>\n",
" <td>316.69</td>\n", " <td>316.08</td>\n",
" <td>317.70</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1963</th>\n",
" <td>318.74</td>\n",
" <td>319.07</td>\n",
" <td>319.86</td>\n",
" <td>321.38</td>\n",
" <td>322.25</td>\n",
" <td>321.48</td>\n",
" <td>319.74</td>\n",
" <td>317.77</td>\n",
" <td>316.21</td>\n",
" <td>315.99</td>\n",
" <td>317.07</td>\n",
" <td>318.35</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1964</th>\n",
" <td>319.57</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>322.26</td>\n",
" <td>321.89</td>\n",
" <td>320.44</td>\n",
" <td>318.69</td>\n",
" <td>316.71</td>\n",
" <td>316.87</td>\n",
" <td>317.68</td>\n",
" <td>318.71</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>...</th>\n", " <th>...</th>\n",
...@@ -2588,171 +2644,163 @@ ...@@ -2588,171 +2644,163 @@
" <td>...</td>\n", " <td>...</td>\n",
" <td>...</td>\n", " <td>...</td>\n",
" <td>...</td>\n", " <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>2014</th>\n", " <th>2019-07-01</th>\n",
" <td>397.93</td>\n", " <td>738</td>\n",
" <td>398.10</td>\n", " <td>2019</td>\n",
" <td>399.47</td>\n", " <td>7</td>\n",
" <td>401.33</td>\n", " <td>43661</td>\n",
" <td>401.88</td>\n", " <td>2019.5370</td>\n",
" <td>401.31</td>\n", " <td>411.850</td>\n",
" <td>399.07</td>\n", " <td>411.03</td>\n",
" <td>397.21</td>\n", " <td>412.36</td>\n",
" <td>395.40</td>\n", " <td>411.57</td>\n",
" <td>395.65</td>\n",
" <td>397.23</td>\n",
" <td>398.79</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015</th>\n",
" <td>399.85</td>\n",
" <td>400.31</td>\n",
" <td>401.51</td>\n",
" <td>403.45</td>\n",
" <td>404.10</td>\n",
" <td>402.88</td>\n",
" <td>401.61</td>\n",
" <td>399.00</td>\n",
" <td>397.50</td>\n",
" <td>398.28</td>\n",
" <td>400.24</td>\n",
" <td>401.89</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2016</th>\n",
" <td>402.65</td>\n",
" <td>404.16</td>\n",
" <td>404.85</td>\n",
" <td>407.57</td>\n",
" <td>407.66</td>\n",
" <td>407.00</td>\n",
" <td>404.50</td>\n",
" <td>402.24</td>\n",
" <td>401.01</td>\n",
" <td>401.50</td>\n",
" <td>403.64</td>\n",
" <td>404.55</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017</th>\n",
" <td>406.07</td>\n",
" <td>406.64</td>\n",
" <td>407.06</td>\n",
" <td>408.95</td>\n",
" <td>409.91</td>\n",
" <td>409.12</td>\n",
" <td>407.20</td>\n",
" <td>405.24</td>\n",
" <td>403.27</td>\n",
" <td>403.64</td>\n",
" <td>405.17</td>\n",
" <td>406.75</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018</th>\n",
" <td>408.05</td>\n",
" <td>408.34</td>\n",
" <td>409.25</td>\n",
" <td>410.30</td>\n",
" <td>411.30</td>\n",
" <td>410.88</td>\n",
" <td>408.90</td>\n",
" <td>407.10</td>\n",
" <td>405.59</td>\n",
" <td>405.99</td>\n",
" <td>408.12</td>\n",
" <td>409.23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2019</th>\n",
" <td>410.92</td>\n",
" <td>411.66</td>\n",
" <td>412.00</td>\n",
" <td>413.52</td>\n",
" <td>414.83</td>\n",
" <td>413.96</td>\n",
" <td>411.85</td>\n", " <td>411.85</td>\n",
" <td>411.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2019-08-01</th>\n",
" <td>739</td>\n",
" <td>2019</td>\n",
" <td>8</td>\n",
" <td>43692</td>\n",
" <td>2019.6219</td>\n",
" <td>410.080</td>\n",
" <td>411.62</td>\n",
" <td>410.23</td>\n",
" <td>411.81</td>\n",
" <td>410.08</td>\n", " <td>410.08</td>\n",
" <td>411.62</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2019-09-01</th>\n",
" <td>740</td>\n",
" <td>2019</td>\n",
" <td>9</td>\n",
" <td>43723</td>\n",
" <td>2019.7068</td>\n",
" <td>408.550</td>\n",
" <td>412.06</td>\n",
" <td>408.52</td>\n",
" <td>412.05</td>\n",
" <td>408.55</td>\n", " <td>408.55</td>\n",
" <td>412.06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2019-10-01</th>\n",
" <td>741</td>\n",
" <td>2019</td>\n",
" <td>10</td>\n",
" <td>43753</td>\n",
" <td>2019.7890</td>\n",
" <td>408.430</td>\n",
" <td>412.07</td>\n",
" <td>408.67</td>\n",
" <td>412.29</td>\n",
" <td>408.43</td>\n", " <td>408.43</td>\n",
" <td>412.07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2019-11-01</th>\n",
" <td>742</td>\n",
" <td>2019</td>\n",
" <td>11</td>\n",
" <td>43784</td>\n",
" <td>2019.8740</td>\n",
" <td>410.280</td>\n",
" <td>412.56</td>\n",
" <td>410.29</td>\n",
" <td>412.54</td>\n",
" <td>410.28</td>\n", " <td>410.28</td>\n",
" <td>412.56</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2019-12-01</th>\n",
" <td>743</td>\n",
" <td>2019</td>\n",
" <td>12</td>\n",
" <td>43814</td>\n",
" <td>2019.9562</td>\n",
" <td>411.850</td>\n",
" <td>412.78</td>\n",
" <td>411.88</td>\n",
" <td>412.79</td>\n",
" <td>411.85</td>\n", " <td>411.85</td>\n",
" <td>412.78</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>2020</th>\n", " <th>2020-01-01</th>\n",
" <td>744</td>\n",
" <td>2020</td>\n",
" <td>1</td>\n",
" <td>43845</td>\n",
" <td>2020.0410</td>\n",
" <td>413.370</td>\n",
" <td>413.33</td>\n",
" <td>413.11</td>\n",
" <td>413.05</td>\n",
" <td>413.37</td>\n", " <td>413.37</td>\n",
" <td>NaN</td>\n", " <td>413.33</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n", " </tr>\n",
" </tbody>\n", " </tbody>\n",
"</table>\n", "</table>\n",
"<p>63 rows × 12 columns</p>\n", "<p>743 rows × 11 columns</p>\n",
"</div>" "</div>"
], ],
"text/plain": [ "text/plain": [
"Mn 1 2 3 4 5 6 7 8 9 \\\n", " index Yr Mn Date 1 Date 2 s1 s2 s3 \\\n",
"Yr \n", "period \n",
"1958 NaN NaN 315.70 317.45 317.51 NaN 315.86 314.93 313.21 \n", "1958-03-01 2 1958 3 21259 1958.2027 315.700 314.44 316.19 \n",
"1959 315.58 316.49 316.65 317.72 318.29 318.15 316.54 314.80 313.84 \n", "1958-04-01 3 1958 4 21290 1958.2877 317.450 315.16 317.30 \n",
"1960 316.43 316.98 317.58 319.03 320.04 319.59 318.18 315.90 314.17 \n", "1958-05-01 4 1958 5 21320 1958.3699 317.510 314.71 317.86 \n",
"1961 316.89 317.70 318.54 319.48 320.58 319.77 318.57 316.79 314.99 \n", "1958-06-01 5 1958 6 21351 1958.4548 316.685 314.95 317.24 \n",
"1962 317.94 318.55 319.68 320.57 321.02 320.62 319.61 317.40 316.25 \n", "1958-07-01 6 1958 7 21381 1958.5370 315.860 315.19 315.86 \n",
"1963 318.74 319.07 319.86 321.38 322.25 321.48 319.74 317.77 316.21 \n", "1958-08-01 7 1958 8 21412 1958.6219 314.930 316.19 314.00 \n",
"1964 319.57 NaN NaN NaN 322.26 321.89 320.44 318.69 316.71 \n", "1958-09-01 8 1958 9 21443 1958.7068 313.210 316.08 312.46 \n",
"... ... ... ... ... ... ... ... ... ... \n", "... ... ... .. ... ... ... ... ... \n",
"2014 397.93 398.10 399.47 401.33 401.88 401.31 399.07 397.21 395.40 \n", "2019-07-01 738 2019 7 43661 2019.5370 411.850 411.03 412.36 \n",
"2015 399.85 400.31 401.51 403.45 404.10 402.88 401.61 399.00 397.50 \n", "2019-08-01 739 2019 8 43692 2019.6219 410.080 411.62 410.23 \n",
"2016 402.65 404.16 404.85 407.57 407.66 407.00 404.50 402.24 401.01 \n", "2019-09-01 740 2019 9 43723 2019.7068 408.550 412.06 408.52 \n",
"2017 406.07 406.64 407.06 408.95 409.91 409.12 407.20 405.24 403.27 \n", "2019-10-01 741 2019 10 43753 2019.7890 408.430 412.07 408.67 \n",
"2018 408.05 408.34 409.25 410.30 411.30 410.88 408.90 407.10 405.59 \n", "2019-11-01 742 2019 11 43784 2019.8740 410.280 412.56 410.29 \n",
"2019 410.92 411.66 412.00 413.52 414.83 413.96 411.85 410.08 408.55 \n", "2019-12-01 743 2019 12 43814 2019.9562 411.850 412.78 411.88 \n",
"2020 413.37 NaN NaN NaN NaN NaN NaN NaN NaN \n", "2020-01-01 744 2020 1 43845 2020.0410 413.370 413.33 413.11 \n",
"\n", "\n",
"Mn 10 11 12 \n", " s4 s5 s6 \n",
"Yr \n", "period \n",
"1958 NaN 313.33 314.67 \n", "1958-03-01 314.91 315.70 314.44 \n",
"1959 313.33 314.81 315.58 \n", "1958-04-01 314.99 317.45 315.16 \n",
"1960 313.83 315.00 316.19 \n", "1958-05-01 315.06 317.51 314.71 \n",
"1961 315.31 316.10 317.01 \n", "1958-06-01 315.14 317.24 315.14 \n",
"1962 315.42 316.69 317.70 \n", "1958-07-01 315.22 315.86 315.19 \n",
"1963 315.99 317.07 318.35 \n", "1958-08-01 315.29 314.93 316.19 \n",
"1964 316.87 317.68 318.71 \n", "1958-09-01 315.35 313.21 316.08 \n",
"... ... ... ... \n", "... ... ... ... \n",
"2014 395.65 397.23 398.79 \n", "2019-07-01 411.57 411.85 411.03 \n",
"2015 398.28 400.24 401.89 \n", "2019-08-01 411.81 410.08 411.62 \n",
"2016 401.50 403.64 404.55 \n", "2019-09-01 412.05 408.55 412.06 \n",
"2017 403.64 405.17 406.75 \n", "2019-10-01 412.29 408.43 412.07 \n",
"2018 405.99 408.12 409.23 \n", "2019-11-01 412.54 410.28 412.56 \n",
"2019 408.43 410.28 411.85 \n", "2019-12-01 412.79 411.85 412.78 \n",
"2020 NaN NaN NaN \n", "2020-01-01 413.05 413.37 413.33 \n",
"\n", "\n",
"[63 rows x 12 columns]" "[743 rows x 11 columns]"
] ]
}, },
"execution_count": 92, "execution_count": 166,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
], ],
"source": [ "source": [
"df1 = pd.crosstab(df['Yr'],df['Mn'],values=df['s1'],aggfunc=pd.Series)\n", "df1 = pd.crosstab(df['Yr'],df['Mn'],values=df['s1'],aggfunc=pd.Series)\n",
"df1" "df"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 95, "execution_count": 162,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
...@@ -2794,45 +2842,45 @@ ...@@ -2794,45 +2842,45 @@
" <tr>\n", " <tr>\n",
" <th>count</th>\n", " <th>count</th>\n",
" <td>62.000000</td>\n", " <td>62.000000</td>\n",
" <td>60.000000</td>\n",
" <td>61.000000</td>\n",
" <td>61.000000</td>\n", " <td>61.000000</td>\n",
" <td>62.000000</td>\n", " <td>62.000000</td>\n",
" <td>61.000000</td>\n",
" <td>62.000000</td>\n", " <td>62.000000</td>\n",
" <td>62.000000</td>\n", " <td>62.000000</td>\n",
" <td>62.000000</td>\n", " <td>62.000000</td>\n",
" <td>61.000000</td>\n", " <td>62.000000</td>\n",
" <td>62.000000</td>\n",
" <td>62.000000</td>\n",
" <td>62.000000</td>\n",
" <td>62.000000</td>\n", " <td>62.000000</td>\n",
" <td>62.000000</td>\n", " <td>62.000000</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>mean</th>\n", " <th>mean</th>\n",
" <td>355.559355</td>\n", " <td>355.559355</td>\n",
" <td>355.965000</td>\n", " <td>355.379385</td>\n",
" <td>356.105902</td>\n", " <td>355.538306</td>\n",
" <td>357.471475</td>\n", " <td>356.892702</td>\n",
" <td>357.509355</td>\n", " <td>357.509355</td>\n",
" <td>357.575410</td>\n", " <td>356.915887</td>\n",
" <td>355.428871</td>\n", " <td>355.428871</td>\n",
" <td>353.441129</td>\n", " <td>353.441129</td>\n",
" <td>351.778871</td>\n", " <td>351.778871</td>\n",
" <td>352.420656</td>\n", " <td>351.789194</td>\n",
" <td>353.175645</td>\n", " <td>353.175645</td>\n",
" <td>354.473387</td>\n", " <td>354.473387</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>std</th>\n", " <th>std</th>\n",
" <td>28.938877</td>\n", " <td>28.938877</td>\n",
" <td>28.066464</td>\n", " <td>28.204916</td>\n",
" <td>28.301402</td>\n", " <td>28.422049</td>\n",
" <td>28.452242</td>\n", " <td>28.583698</td>\n",
" <td>28.657777</td>\n", " <td>28.657777</td>\n",
" <td>28.333317</td>\n", " <td>28.575947</td>\n",
" <td>28.395757</td>\n", " <td>28.395757</td>\n",
" <td>28.315031</td>\n", " <td>28.315031</td>\n",
" <td>28.340139</td>\n", " <td>28.340139</td>\n",
" <td>28.284758</td>\n", " <td>28.489200</td>\n",
" <td>28.700183</td>\n", " <td>28.700183</td>\n",
" <td>28.819885</td>\n", " <td>28.819885</td>\n",
" </tr>\n", " </tr>\n",
...@@ -2843,56 +2891,56 @@ ...@@ -2843,56 +2891,56 @@
" <td>315.700000</td>\n", " <td>315.700000</td>\n",
" <td>317.450000</td>\n", " <td>317.450000</td>\n",
" <td>317.510000</td>\n", " <td>317.510000</td>\n",
" <td>318.150000</td>\n", " <td>316.685000</td>\n",
" <td>315.860000</td>\n", " <td>315.860000</td>\n",
" <td>314.800000</td>\n", " <td>314.800000</td>\n",
" <td>313.210000</td>\n", " <td>313.210000</td>\n",
" <td>313.330000</td>\n", " <td>313.270000</td>\n",
" <td>313.330000</td>\n", " <td>313.330000</td>\n",
" <td>314.670000</td>\n", " <td>314.670000</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>25%</th>\n", " <th>25%</th>\n",
" <td>329.612500</td>\n", " <td>329.612500</td>\n",
" <td>331.227500</td>\n", " <td>330.710000</td>\n",
" <td>331.480000</td>\n", " <td>330.595000</td>\n",
" <td>332.650000</td>\n", " <td>331.787500</td>\n",
" <td>332.632500</td>\n", " <td>332.632500</td>\n",
" <td>332.250000</td>\n", " <td>332.115000</td>\n",
" <td>330.947500</td>\n", " <td>330.947500</td>\n",
" <td>329.330000</td>\n", " <td>329.330000</td>\n",
" <td>327.450000</td>\n", " <td>327.450000</td>\n",
" <td>327.370000</td>\n", " <td>327.227500</td>\n",
" <td>328.235000</td>\n", " <td>328.235000</td>\n",
" <td>328.872500</td>\n", " <td>328.872500</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>50%</th>\n", " <th>50%</th>\n",
" <td>353.210000</td>\n", " <td>353.210000</td>\n",
" <td>353.885000</td>\n", " <td>353.070000</td>\n",
" <td>353.680000</td>\n", " <td>352.950000</td>\n",
" <td>355.420000</td>\n", " <td>354.505000</td>\n",
" <td>354.945000</td>\n", " <td>354.945000</td>\n",
" <td>355.120000</td>\n", " <td>354.460000</td>\n",
" <td>353.140000</td>\n", " <td>353.140000</td>\n",
" <td>351.050000</td>\n", " <td>351.050000</td>\n",
" <td>349.270000</td>\n", " <td>349.270000</td>\n",
" <td>349.990000</td>\n", " <td>349.435000</td>\n",
" <td>350.685000</td>\n", " <td>350.685000</td>\n",
" <td>351.930000</td>\n", " <td>351.930000</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>75%</th>\n", " <th>75%</th>\n",
" <td>377.952500</td>\n", " <td>377.952500</td>\n",
" <td>377.930000</td>\n", " <td>377.370000</td>\n",
" <td>378.390000</td>\n", " <td>377.820000</td>\n",
" <td>380.500000</td>\n", " <td>379.787500</td>\n",
" <td>380.052500</td>\n", " <td>380.052500</td>\n",
" <td>379.550000</td>\n", " <td>379.195000</td>\n",
" <td>377.470000</td>\n", " <td>377.470000</td>\n",
" <td>375.492500</td>\n", " <td>375.492500</td>\n",
" <td>373.782500</td>\n", " <td>373.782500</td>\n",
" <td>374.220000</td>\n", " <td>373.915000</td>\n",
" <td>375.467500</td>\n", " <td>375.467500</td>\n",
" <td>377.002500</td>\n", " <td>377.002500</td>\n",
" </tr>\n", " </tr>\n",
...@@ -2917,27 +2965,27 @@ ...@@ -2917,27 +2965,27 @@
], ],
"text/plain": [ "text/plain": [
"Mn 1 2 3 4 5 6 \\\n", "Mn 1 2 3 4 5 6 \\\n",
"count 62.000000 60.000000 61.000000 61.000000 62.000000 61.000000 \n", "count 62.000000 61.000000 62.000000 62.000000 62.000000 62.000000 \n",
"mean 355.559355 355.965000 356.105902 357.471475 357.509355 357.575410 \n", "mean 355.559355 355.379385 355.538306 356.892702 357.509355 356.915887 \n",
"std 28.938877 28.066464 28.301402 28.452242 28.657777 28.333317 \n", "std 28.938877 28.204916 28.422049 28.583698 28.657777 28.575947 \n",
"min 315.580000 316.490000 315.700000 317.450000 317.510000 318.150000 \n", "min 315.580000 316.490000 315.700000 317.450000 317.510000 316.685000 \n",
"25% 329.612500 331.227500 331.480000 332.650000 332.632500 332.250000 \n", "25% 329.612500 330.710000 330.595000 331.787500 332.632500 332.115000 \n",
"50% 353.210000 353.885000 353.680000 355.420000 354.945000 355.120000 \n", "50% 353.210000 353.070000 352.950000 354.505000 354.945000 354.460000 \n",
"75% 377.952500 377.930000 378.390000 380.500000 380.052500 379.550000 \n", "75% 377.952500 377.370000 377.820000 379.787500 380.052500 379.195000 \n",
"max 413.370000 411.660000 412.000000 413.520000 414.830000 413.960000 \n", "max 413.370000 411.660000 412.000000 413.520000 414.830000 413.960000 \n",
"\n", "\n",
"Mn 7 8 9 10 11 12 \n", "Mn 7 8 9 10 11 12 \n",
"count 62.000000 62.000000 62.000000 61.000000 62.000000 62.000000 \n", "count 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 \n",
"mean 355.428871 353.441129 351.778871 352.420656 353.175645 354.473387 \n", "mean 355.428871 353.441129 351.778871 351.789194 353.175645 354.473387 \n",
"std 28.395757 28.315031 28.340139 28.284758 28.700183 28.819885 \n", "std 28.395757 28.315031 28.340139 28.489200 28.700183 28.819885 \n",
"min 315.860000 314.800000 313.210000 313.330000 313.330000 314.670000 \n", "min 315.860000 314.800000 313.210000 313.270000 313.330000 314.670000 \n",
"25% 330.947500 329.330000 327.450000 327.370000 328.235000 328.872500 \n", "25% 330.947500 329.330000 327.450000 327.227500 328.235000 328.872500 \n",
"50% 353.140000 351.050000 349.270000 349.990000 350.685000 351.930000 \n", "50% 353.140000 351.050000 349.270000 349.435000 350.685000 351.930000 \n",
"75% 377.470000 375.492500 373.782500 374.220000 375.467500 377.002500 \n", "75% 377.470000 375.492500 373.782500 373.915000 375.467500 377.002500 \n",
"max 411.850000 410.080000 408.550000 408.430000 410.280000 411.850000 " "max 411.850000 410.080000 408.550000 408.430000 410.280000 411.850000 "
] ]
}, },
"execution_count": 95, "execution_count": 162,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
...@@ -2948,7 +2996,7 @@ ...@@ -2948,7 +2996,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 133, "execution_count": 163,
"metadata": { "metadata": {
"scrolled": true "scrolled": true
}, },
...@@ -3011,11 +3059,11 @@ ...@@ -3011,11 +3059,11 @@
" <td>0.2027</td>\n", " <td>0.2027</td>\n",
" <td>0.2877</td>\n", " <td>0.2877</td>\n",
" <td>0.3699</td>\n", " <td>0.3699</td>\n",
" <td>NaN</td>\n", " <td>0.4548</td>\n",
" <td>0.5370</td>\n", " <td>0.5370</td>\n",
" <td>0.6219</td>\n", " <td>0.6219</td>\n",
" <td>0.7068</td>\n", " <td>0.7068</td>\n",
" <td>NaN</td>\n", " <td>0.7890</td>\n",
" <td>0.8740</td>\n", " <td>0.8740</td>\n",
" <td>0.9562</td>\n", " <td>0.9562</td>\n",
" </tr>\n", " </tr>\n",
...@@ -3086,7 +3134,7 @@ ...@@ -3086,7 +3134,7 @@
"text/plain": [ "text/plain": [
"Mn 1 2 3 4 5 6 7 8 9 \\\n", "Mn 1 2 3 4 5 6 7 8 9 \\\n",
"Yr \n", "Yr \n",
"1958 NaN NaN 0.2027 0.2877 0.3699 NaN 0.5370 0.6219 0.7068 \n", "1958 NaN NaN 0.2027 0.2877 0.3699 0.4548 0.5370 0.6219 0.7068 \n",
"1959 0.0411 0.1260 0.2027 0.2877 0.3699 0.4548 0.5370 0.6219 0.7068 \n", "1959 0.0411 0.1260 0.2027 0.2877 0.3699 0.4548 0.5370 0.6219 0.7068 \n",
"1960 0.0410 0.1257 0.2049 0.2896 0.3716 0.4563 0.5383 0.6230 0.7077 \n", "1960 0.0410 0.1257 0.2049 0.2896 0.3716 0.4563 0.5383 0.6230 0.7077 \n",
"1961 0.0411 0.1260 0.2027 0.2877 0.3699 0.4548 0.5370 0.6219 0.7068 \n", "1961 0.0411 0.1260 0.2027 0.2877 0.3699 0.4548 0.5370 0.6219 0.7068 \n",
...@@ -3094,14 +3142,14 @@ ...@@ -3094,14 +3142,14 @@
"\n", "\n",
"Mn 10 11 12 \n", "Mn 10 11 12 \n",
"Yr \n", "Yr \n",
"1958 NaN 0.8740 0.9562 \n", "1958 0.7890 0.8740 0.9562 \n",
"1959 0.7890 0.8740 0.9562 \n", "1959 0.7890 0.8740 0.9562 \n",
"1960 0.7896 0.8743 0.9563 \n", "1960 0.7896 0.8743 0.9563 \n",
"1961 0.7890 0.8740 0.9562 \n", "1961 0.7890 0.8740 0.9562 \n",
"1962 0.7890 0.8740 0.9562 " "1962 0.7890 0.8740 0.9562 "
] ]
}, },
"execution_count": 133, "execution_count": 163,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
...@@ -3128,49 +3176,14 @@ ...@@ -3128,49 +3176,14 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 126, "execution_count": null,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [],
{
"name": "stdout",
"output_type": "stream",
"text": [
"period\n",
"1959-01-01 0.0411\n",
"1959-02-01 0.1260\n",
"1959-03-01 0.2027\n",
"1959-04-01 0.2877\n",
"1959-05-01 0.3699\n",
"1959-06-01 0.4548\n",
"1959-07-01 0.5370\n",
"1959-08-01 0.6219\n",
"1959-09-01 0.7068\n",
"1959-10-01 0.7890\n",
"1959-11-01 0.8740\n",
"1959-12-01 0.9562\n",
"dtype: float64\n",
"period\n",
"1960-01-01 0.0410\n",
"1960-02-01 0.1257\n",
"1960-03-01 0.2049\n",
"1960-04-01 0.2896\n",
"1960-05-01 0.3716\n",
"1960-06-01 0.4563\n",
"1960-07-01 0.5383\n",
"1960-08-01 0.6230\n",
"1960-09-01 0.7077\n",
"1960-10-01 0.7896\n",
"1960-11-01 0.8743\n",
"1960-12-01 0.9563\n",
"dtype: float64\n"
]
}
],
"source": [] "source": []
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 101, "execution_count": 164,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
...@@ -3179,7 +3192,7 @@ ...@@ -3179,7 +3192,7 @@
"0.1246" "0.1246"
] ]
}, },
"execution_count": 101, "execution_count": 164,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
...@@ -3190,7 +3203,7 @@ ...@@ -3190,7 +3203,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 103, "execution_count": 165,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
...@@ -3270,7 +3283,7 @@ ...@@ -3270,7 +3283,7 @@
"2020-01-01 413.37 413.33 " "2020-01-01 413.37 413.33 "
] ]
}, },
"execution_count": 103, "execution_count": 165,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
......
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